• Title/Summary/Keyword: Change Propagation

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The Effect of Structure on the Fatigue of Low Carbon Steel (조직변화(組織變化)가 피로현상(疲勞現象)에 미치는 영향(影響))

  • C.S.,Kang;C.M.,Suh
    • Bulletin of the Society of Naval Architects of Korea
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    • v.9 no.2
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    • pp.33-42
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    • 1972
  • This paper was studied on the behavior, crack formation and propagation of slip bands on low carbon steel which was heat-treated in three conditions in order to change metallic structure. The specimens were tested by rotating bending fatigue testing machine and also observed the variations of grains by microscope. From the test results it was clear that fatigue endurance limit and life of low carbon steel were more increased in contrast with the case that the grain size of specimen was more decreased. Slip bands developed at oil-quenched specimen and furnace-cooled specimen. Formed cracks in the first one or two grains below the surface were approximately "planar" type, there after they followed "wavy" type. It was also found that cracks at 30% higher stress than fatigue limit were usually developed inter-granular, and cracks at 12% higher stress than fatigue limit were propagated meandering path, partly trans- and partly inter-grandular.

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Property Control in a Continuous MMA Polymerization Reactor using EKF based Nonlinear Model Predictive Controller

  • Ahn, Sung-Mo;Park, Myung-June;Rhee, Hyun-Ku
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.468-473
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    • 1998
  • A mathematical model was developed for a continuous re-actor in which free radical polymerization of methyl methacrylate (MMA) occurred. Elementary reactions considered in this study were initiation, propagation, termination, and chain transfers to monomer and solvent. The reactor model took into account the density change of the reactor contents and the gel effect. A control system was designed for a continuous reactor using extended Kalman filter (EKF) based non-linear model predictive controller (NLMPC) to control the conversion and the weight average molecular weight of the polymer product. Control input variables were the jacket inlet temperature and the feed flow rate. For the purpose of validation of the control strategy, on-line digital control experiments were conducted with densitometer and viscometer for the measurement of the polymer properties. Despite the com-plex and nonlinear features of the polymerization reaction system, the EKF based NLMPC performed quite satisfactorily for the property control of the continuous polymerization reactor.

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Evaluation of ultrasonic reflection characteristics on an interface surface using Simulated Annealing (Simulated Annealing기법을 이용한 초음파의 계면 반사 특성평가)

  • 은길수;김노유;나환선
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2002.04a
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    • pp.395-400
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    • 2002
  • Epoxy coating and sealing used in nuclear plants for the protection of radiation degrades with aging and hazardous atmosphere. In order to evaluate the degradation of the epoxy, dependence of the acoustic impedance on the change of mechanical properties has been used. Unlike metals, the surface of the epoxy coating on a concrete liner is so wavy that the acoustic impedance is difficult to measure by using the reflectivity of the ultrasound on the interface surface because of the irregular reflection and propagation from the epoxy surface. SA(simulated annealing) algorithm is applied to calculate the acoustic impedance using a reflection wave from the rough epoxy surface. The surface waviness and acoustic impedance are taken into account and determined by SA method to evaluate the state of degradation quantitatively.

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Experimental Study on the Performance of a Turbopump Inducer

  • Hong, Soon-Sam;Kim, Jin-Sun;Park, Chang-Ho;Kim, Jinhan
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2004.03a
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    • pp.240-244
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    • 2004
  • Characteristics of steady and unsteady cavitation in a turbopump inducer were investigated in this paper. To see the effect of tip clearance on the inducer performance, three cases of tip clearance were tested. The helical inducer, which has two blades with inlet tip blade angle of 7.8 degree and tip solidity of 2.7, was tested in the water. In the non-cavitating condition, the inducer head decreased with increase in the tip clearance. Rotating cavitation and cavitation surge were observed through unsteady pressure measurements at the inducer inlet. The cell number and propagation speed of the rotating cavitation were determined through cross-correlation analysis. During the rotating cavitation one cell rotated at the same rotational speed as that of the inducer rotation and the cavitation surge did not rotate. The critical cavitation number increased with increase in the tip clearance at the same flow rate, but the change of critical cavitation number was small at the nominal flow rate.

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Rebar corrosion effects on structural behavior of buildings

  • Yuksel, Isa
    • Structural Engineering and Mechanics
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    • v.54 no.6
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    • pp.1111-1133
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    • 2015
  • Rebar corrosion in concrete is one of the main causes of reduction of service life of reinforced concrete buildings. This paper presents the influence of rebar corrosion on the structural behavior of reinforced concrete (RC) buildings subjected to strong earthquake ground motion. Different levels of rebar corrosion scenarios were applied on a typical four story RC frame. The deteriorated conditions as a result of these scenarios include loss in cross-sectional area and loss of mechanical properties of the reinforcement bars, loss in bond strength, and loss in concrete strength and its modulus of elasticity. Dynamic analyses of the frame with different corrosion scenarios are performed with selected strong earthquake ground motion records. The influences of degradation in both concrete and reinforcement on structural behavior are investigated by comparing the various parameters of the frame under different corrosion scenarios with respect to each other. The results show that the progressive deterioration of the frame due to rebar corrosion causes serious structural behavior changes such as change in failure mode. The intensity, propagation time, and extensity of rebar corrosion have very important effects on the level of degradation of steel and concrete, as well as on the earthquake behavior of the structure.

A Study on a Multi-Attribute Decision Making Process Using Fuzzy Neural Network

  • Hashiyama, Tomonori;Furuhashi, Takeshi;Uchikawa, Yoshiki
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.810-813
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    • 1993
  • In multi-attribute decision making, human beings influenced with various factors often change their decisions. This paper presents a new approach to express the changes in the decision makings when they got new information. The new approach uses the fuzzy neural network (FNN) which has been proposed by the authors. The FNN identifies the weights to the attributes with the back propagation learning. Through experiments, it is shown that the changes of subjects' decision can be described by the changes of their weights to the attributes.

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Improved Neural Network-Based Self-Tuning fuzzy PID Controller for Induction Motor Speed Control (유도전동기 속도제어를 위한 개선된 신경회로망 기반 자기동조 퍼지 PID 제어기 설계)

  • 김상민;한우용;이창구
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.51 no.12
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    • pp.691-696
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    • 2002
  • This paper presents a neural network based self-tuning fuzzy PID control scheme with variable learning rate for induction motor speed control. When induction motor is continuously used long time, its electrical and mechanical Parameters will change, which degrade the Performance of PID controller considerably. This Paper re-analyzes the fuzzy controller as conventional PID controller structure, introduces a single neuron with a back-propagation learning algorithm to tune the control parameters, and proposes a variable learning rate to improve the control performance. Proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink and the experiment using dSPACE(DS1102) board are performed to verify the effectiveness of the proposed scheme.

A Study of the Lug Fracture Improvement for Composite Leaf Spring Landing Gear (판스프링방식 착륙장치의 러그파손 개선 연구)

  • Shim, Daisung;Jang, Deakhyeon;Park, Chahwan;Kim, Jounghun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.4
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    • pp.343-349
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    • 2015
  • This is a study for the improvement of the fractured lug structure that connects the landing gear to the fuselage of the aircraft using the composite leaf spring landing gear. The lug surface was analyzed to find out the cause of fracture. The lug was destroyed by the crack initiation and propagation under the repeated stresses. The frictional wears of the lug structure were proceeded and that affected adversely to the crack. Also, the square protrusion of the lug has a weak shape to bring about stress concentration. The design changes were conducted and the test was performed to verify changed design results.

Guidelines for Applying Traceability in RUP (Rational Unified Process(RUP)의 추적성 적용 지침)

  • 소동섭;김수동
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04a
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    • pp.583-585
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    • 2001
  • RUP의 Unified Process Model 에는 Use-Case Model, Analysis Model, Design Model, Deployment Model, Implementation Model, Test Model의 6가지 모델이 있다. 이 모델들은 모두 일관성이 있다. 한 모델에서 나오는 요소들은 전, 후 단계에서 다른 모델들과 Trace Dependencies를 갖는다. 예를 들면, Use-Case Model에서는 한 Use Case는 Design Model에서 Use-Case Realization으로 Test Model에서는 Test Case로 Trace Dependencies를 갖는다. 소프트웨어 개발에서 추적성은 Understandability와 Change Propagation 과 같은 이유로 매우 중요하다. 그러나 RUP에서는 각 모델들간의 추적성에 대한 지침이 충분히 제시되어 있지 않아, 개발 과정중에 요구사항의 변경이나 에러 수정 또는 향후 관리 시에 어려움을 겪고 있다. 본 논문에서는 이 점에 중점을 두고 RUP에서 제시하고 있는 모델들 간의 추적성 중 설계모델에서 분석모델로의 추적성 적용지침을 제시한다.

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Study on the Load Frequency of 2-Area Power System Using Neural Network Controller (신경회로망 제어기을 이용한 2지역 전력계통의 부하주파수제어에 관한 연구)

  • Chong, H.H.;Lee, J.T.;Kim, S.H.;Joo, S.M.
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.768-770
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    • 1996
  • This paper propose neural network which is one of self-organizing techniques. It is composed neural network controller as input signal is error and change of error which is optimal output, and is learned system by using a error back-propagation learning algorithm is one of error mimizing learning methods. In order to achieve practical real time control reduce on learning time, it is applied to load-frequency control of nonlinear power system with using a moment learning method. It is described in such a case considering constraints for a rate of increace generation-rate.

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